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Related Questions
- Can you explain the concept of 'prompt engineering' and its role in fine-tuning a model's metaphor generation capabilities?
- What are some common techniques used in prompt engineering to enhance metaphor generation in language models?
- How can you use 'prompt templates' to guide the model's metaphor generation and improve its output quality?
- What is the difference between 'positive prompting' and 'negative prompting' in the context of metaphor generation, and how can you use each approach effectively?
- Can you discuss the importance of 'contextual understanding' in metaphor generation and how prompt engineering can help improve it?
- How can you use 'metaphor-specific prompts' to encourage the model to generate more creative and nuanced metaphors?
- What are some best practices for 'iteratively refining' prompts to improve the model's metaphor generation capabilities over time?
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